Automation Testing Engineer (AI-Augmented)

highly skilled Automation Testing Engineer (AI-Augmented)

Key Responsibilities:

• Design, develop, and maintain

  robust automated test frameworks

  for functional, regression, integration, and performance testing.
• Implement

  AI/ML-driven testing solutions

  to optimize defect prediction, test case generation, and visual validation.
• Develop

  BDD-based automation frameworks

  (Cucumber, Gherkin) using the

  Page Object Model (POM)

  pattern for better maintainability.
• Leverage

  modern test frameworks

  such as

  Selenium, Cypress, WebdriverIO, and Playwright

  for UI automation across browsers and devices.
• Collaborate with developers and product teams to identify test scenarios and ensure comprehensive coverage.
• Integrate test automation into

  CI/CD pipelines

  (Jenkins, GitLab, CircleCI) for continuous validation and deployment quality checks.
• Perform

  API testing

  using tools like

  Postman, Newman, or REST Assured

  .
• Conduct

  performance and load testing

  using

  JMeter or BlazeMeter

  , and analyze system performance metrics.
• Explore and implement

  AI-assisted testing tools

  (Testim, Functionize, Mabl, Applitools, Test.ai) to improve test intelligence and defect detection.
• Participate in

  code reviews

  , maintain reusable test libraries, and drive automation best practices.
• Continuously research and adopt

  emerging AI and GenAI technologies

  (LLM API testing, RAG validation) relevant to test automation.

Core Skills & Technical Expertise:

• Automation Tools:

  Selenium, Cypress, Playwright, WebdriverIO, Appium

• AI/ML Testing Tools:

  Testim, Functionize, Mabl, Test.ai, Applitools (Visual AI)

• Scripting Languages:

  Python, Java, JavaScript, TypeScript, or C#

• Frameworks:

  Cucumber (BDD), TestNG, Mocha, Jest, or PyTest

• API Testing:

  Postman, Newman, REST Assured

• Performance Testing:

  JMeter, BlazeMeter, LoadRunner

• CI/CD & DevOps Tools:

  Jenkins, GitLab, CircleCI, Docker, Git, Bitbucket

• Observability & Monitoring:

  Grafana, Prometheus, Elastic Stack (ELK)

• Version Control:

  Git, Bitbucket

• Frontend Knowledge (Preferred):

  HTML, CSS, JavaScript, ReactJS

Desirable (Good to Have):

• Experience testing

  GenAI integrations, LLM APIs, and RAG-based applications

  .
• Familiarity with

  test data management

  ,

  AI-based test optimization

  , and

  self-healing automation

  concepts.
• Understanding of

  cloud-based testing platforms

  (BrowserStack, Sauce Labs).
• Exposure to

  Agile/Scrum

  and

  DevOps

  methodologies.
• Strong analytical, debugging, and documentation skills.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Proven experience in

  automation testing for enterprise-grade applications

  .
• Demonstrated expertise in

  AI-assisted automation frameworks

  and

  modern testing tools

  .
• Passionate about

  quality assurance, innovation, and continuous improvement

  in test engineering.

We look forward to your application if you are passionate about leveraging automation and AI technologies to improve software quality.